Technology Category
- Analytics & Modeling - Digital Twin / Simulation
- Infrastructure as a Service (IaaS) - Cloud Computing
Applicable Industries
- Automotive
- Oil & Gas
Applicable Functions
- Product Research & Development
- Quality Assurance
Use Cases
- Manufacturing Process Simulation
- Time Sensitive Networking
Services
- Cloud Planning, Design & Implementation Services
- Testing & Certification
About The Customer
Modine Manufacturing Company is an international company that designs, manufactures, and tests heat transfer solutions. They serve a wide range of industries, including automotive, agriculture equipment, and construction equipment. A significant portion of Modine’s business is in heating, ventilation, and air conditioning (HVAC). They focus on designing heat transfer components and systems, providing products like radiators, charge-air coolers for diesel engines, oil coolers, exhaust gas recirculation coolers, condensers and evaporators for air-conditioning systems, and battery coolers for electric vehicles. With fiscal 2016 revenues of $1.4 billion, Modine is a global company headquartered in Racine, Wisconsin, with operations in North America, South America, Europe, Asia, and Africa.
The Challenge
Modine Manufacturing Company, a global provider of heat transfer solutions, was facing challenges with their computational fluid dynamics (CFD) simulations. Their workstation computing systems in North America were relatively large but lacked an in-house grid computing environment. These workstations, with 10 cores and 64 gigabytes of memory, were constrained by memory and computing bandwidth, limiting the amount of parallelization they could use in their simulations. Modine Germany had a grid updated every five years, with 32 processors and plans for expansion. However, the company wanted to eliminate assumptions in their models, which added complexity and increased the model size. They also wanted to do more transient simulations, which are complex models that take a long time to run. Running a transient simulation on ten cores took them about three months, which was practically impossible. They realized they didn’t have the computing power to quickly investigate methodologies without purchasing their own computing equipment, which would have significantly delayed their development.
The Solution
Modine Manufacturing Company turned to Rescale, a cloud computing solution, to overcome their challenges. Rescale was recommended to them by other CFD engineers at a STAR-CCM+ seminar due to its ease of use. Rescale's graphical user interface (GUI) allowed Modine's engineers to easily upload files, run simulations, and download results without any coding. Rescale also provided upfront cost per hour and allowed Modine to set limits on run time to prevent going over budget. Modine used Rescale's free trial to run a quick transient simulation and compare how long it would take to run on Rescale. They were able to run a large model that would have taken three months to run as a transient model in just a few days on Rescale. Modine purchased STAR-CCM+’s Power On Demand licensing, which gave them unlimited cores per hour. They ran transient conjugate heat transfer CFD on about 500 cores in a job using Onyx and Nickel core types.
Operational Impact
Quantitative Benefit
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